Team & Delivery
Leadership
A UK-founded team with hands-on experience delivering AI and software for Ethiopian businesses, institutions, and international clients.
Eliyas Woldegeorgis
Chief Executive Officer
Leads strategy and delivery at AB Analytics, with experience guiding data science teams in privacy-sensitive settings. Specialises in privacy-enhancing technologies — from differential privacy to data protection — and production ML spanning computer vision and embedded systems.
AWS Certified
- Solutions Architect
Matthew Gela
Chief Technology Officer
Drives technical strategy and delivery at AB Analytics, with experience leading multidisciplinary data science and engineering teams. Specialises in LLM and generative AI — from chatbots to production-scale deployments — and end-to-end machine learning on cloud-native platforms.
Google Cloud Certified
- Professional Cloud Architect
- Professional ML Engineer
- Professional Data Engineer
Delivery Model
Delivery approach
We take care of your infrastructure needs. A four-stage process from discovery through to software your team can use on a yearly subscription or licence.
Diagnostic & Strategy Map
Reviewing requirements, constraints, and infrastructure across your organisation.
Design & Build
Designing and building your AI application or software solution to agreed requirements and timelines.
Hosted Deployment
Deploying on managed infrastructure — we take care of hosting and operations so your team can use the software without running servers or cloud ops.
Managed Services
Ongoing hosting, monitoring, updates, and support on a yearly subscription or licence fee.
Structure
Organisation & delivery model
A multidisciplinary team spanning design, engineering, and cloud architecture, building software we host and manage so you can focus on your business.
Frontend Developers
Production interfaces, design systems, and performant client applications.
Backend Developers
APIs, data layers, integrations, and platform services built to scale.
UI/UX Designers
User research, interaction design, and cohesive product experiences.
AI Engineers
ML engineering, generative AI systems, and production model deployment.
Cloud Architects
Infrastructure-as-code, cloud design, and operational telemetry.
Data Engineers
Data pipelines, warehousing, and platform engineering that keep models and applications fed with reliable data.
Project Managers
Delivery planning, stakeholder coordination, and clear communication from discovery through managed services.
How we deliver
Multidisciplinary by design
Every engagement draws on frontend and backend developers, UI/UX designers, AI engineers, cloud architects, data engineers, and project managers working together to build, host, and manage software so you do not have to.